Dan Shiebler

One of my favorite classes in college was Abstract Algebra. It was my first non-CS non-elementary math class, and I took it because I knew I didn’t want to graduate without having broadened my mathematical horizons beyond CS. As it turned out, Abstract Algebra felt pretty familiar. Many of the... [Read More]

Welcome to part 2 of the Computation Theory series! In the last post, we discussed decidability and the halting problem. In this post we will talk about complexity classes. Time Complexity If you’re not used to reasoning about algorithms and their complexity, there is an enormous amount of great material... [Read More]

When you think about the most important fields of mathematics for a data scientist to know, you’ll almost certainly name calculus, probability/statistics, and linear algebra. These fields form the underpinnings of the most popular data analysis, signal processing and machine learning techniques. But in my experience, I’ve found that there... [Read More]

In this post I’m going to share a simple method that will turn any list comprehension into a high performance parallel job with a progress bar. tqdm If you are a python programmer who hasn’t worked with tqdm before, I’m about to change your life. With just 6 characters, tqdm... [Read More]

Welcome to part 2 of the Musical TensorFlow series! In the last post, we built an RBM in TensorFlow for making short pieces of music. Today, we’re going to learn how to compose longer and more complex musical pieces with a more involved model: the RNN-RBM. To warm you up,... [Read More]